GreenPT / greenpt/green-r-raw

Green R Raw - access through LLMTR

Green R Raw is the same reasoning model as Green R, served without the instruction the provider injects server-side, with a 128,000-token context window. The measured difference is large: a one-word request billed 72 input tokens on this row against 8,082 on Green R. If you write your own prompt, this row gives you the same behaviour at a far lower floor. Tool/function calling was verified over a full two-turn loop. It does not accept image input; a request containing an image is refused by LLMTR without being charged. The model reasons by default and those tokens bill as output — on a short question it spent its entire output budget on reasoning, so keep `max_tokens` generous.

Technical specifications

Canonical IDgreenpt/green-r-raw
ProviderGreenPT
Context window128,000 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$0.427109
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$1.159295

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"greenpt/green-r-raw","messages":[{"role":"user","content":"Hello"}]}'

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